Instructions to use Denverse/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denverse/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denverse/test-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denverse/test-model") model = AutoModelForSequenceClassification.from_pretrained("Denverse/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8e401206ad59346fad15d48464fdb430a1ccbca1b7e2de3c512fc55f5876917
- Size of remote file:
- 433 MB
- SHA256:
- 300f5daf5f237423cbe43106c486ac8475f03802e7b643f84020e590ac2fcfa5
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